Triple
T9209685
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al-Nasr SC (Benghazi) |
E221079
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | Al-Nasr |
E221079
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Al-Nasr | Statement: [Al-Nasr SC (Benghazi), shortName, Al-Nasr]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Al-Nasr Context triple: [Al-Nasr SC (Benghazi), shortName, Al-Nasr]
-
A.
Al-Nasr
chosen
Al-Nasr is a Libyan football club based in Benghazi that competes in the Libyan Premier League.
-
B.
An-Nasr
An-Nasr is the 110th chapter of the Qur’an, known for heralding the victory of Islam and the completion of the Prophet Muhammad’s mission.
-
C.
Al Nasr SC
Al Nasr SC is one of the oldest and most successful professional football clubs in the United Arab Emirates, based in Dubai and competing in the UAE Pro League.
-
D.
Al Taawoun
Al Taawoun is a professional football club based in Buraidah, Saudi Arabia, that competes in the Saudi Pro League.
-
E.
Wydad AC
Wydad AC is one of Morocco’s most successful and popular football clubs, based in Casablanca and renowned for its passionate fanbase and historic domestic and continental achievements.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca83e9d0e081908bdb71097201a06c |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccd9b3c8c081909a688ce699928fc0 |
completed | April 1, 2026, 8:39 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d065e967508190acb962d37c390d68 |
completed | April 4, 2026, 1:14 a.m. |
Created at: March 30, 2026, 7:26 p.m.